What’s new

Ernesto Carrella

February 13, 2018

Indonesia - 1st slice

  • 2 lengths
  • 2 spots
  • Market Incentive

Basic Geography

Subsidies

Fish the nursery line

Boxcar biology

  • 100 length bins
  • 1D Poseidon
  • Can we regenerate data from the length-based assessment?

Data Target

Model

  • 10M recruits
  • \[ \displaystyle \text{Selectivity}(l)= \frac{q}{1+e^{-\log_{10}(19)\frac{(l-a)}{b}}} \]
  • Can our model output the same length-based histograms?

Aphaerus Rutilians

Lutjanus Erythropterus

Indonesia - 2nd slice

  • 2 Boxcars Length
  • 2 spots
  • Market Incentive

Nursery-Movement

Market Incentives

Indonesia - 3rd slice

  • 2 Boxcars Length
  • 2 spots
  • Gear Selection \[ \displaystyle \text{Selectivity}(l)= \frac{q}{1+e^{-\log_{10}(19)\frac{(l-a)}{b}}} \]
  • Market Incentive

No regulation

Add Policy

Overall Effect

Indonesia - 4th slice

  • 2 Ports
  • Departure Delays
  • Port Switching

Kupang and Benoa

Switching

Switching (zoomed in)

Switching and histograms

Partial Subsidies

Missing Data - Boats

  • Simple:
    • Vessel capacity
    • Diesel costs
    • ex vessel prices
    • number per port
  • Behavioural
    • Going out rule
    • Going home rule
    • Destination rule
    • Ability to target

Allocating Fish

  • Ideal allocation
    • Isolate each trip-landing pair
    • Find fishing events
    • Associate catches with fishing pings
    • Build a Spatial Model
  • Pragmatic Allocation
    • Pair fishers with landings
    • Collect all fishing events per fisher
    • Associate average catch per fisher with each of its pings
    • Build Spatial Model

Input

Output

Clustering

Clustering - 2

Data Issues to be resolved

  • Pings with no boats associated with them
  • Boats with many landings but no pings
  • Boats with many fishing pings but no landings associated with them